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st: Test selection for effects of a number of variables on a dependent variable

From   Tim Evans <>
To   "''" <>
Subject   st: Test selection for effects of a number of variables on a dependent variable
Date   Wed, 12 Jun 2013 11:22:12 +0100

Hi all,

I am using Stata 11.2, and have a cohort of patients diagnosed with a particular type of cancer and have a couple of questions to ask of my data. The first relates to the effects of certain variables (social isolation, deprivation, stage at diagnosis etc) on survival time - this I think I have sorted out. However, one question I have to answer is:
 'does ethnicity or social isolation have an effect on stage at diagnosis (controlling for the other factors).'

My stage at diagnosis variable has 6 different values, social isolation has 4 different variables and ethnicity has 5 variables. Originally I thought I would be able to model this using -mlogit-, but this appears to me, to only be appropriate when the dependent variable has 3 different values (and mine has more). I naively tried to use -regress- but the dependent variable cannot be a factor variable and the data I have are not categorised in a continuous manner.

Therefore, does anyone have any suggestions on how I might be able to model the effect of one of my variables (ethnicity or social deprivation) on stage at diagnosis?

Any help gratefully received.

Best wishes


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